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In this post-graduate master's in Financial Mathematics programme, you will focus on the tools that allow you to develop pricing models, to check and test the robustness of the models based on current dataset and monitor your projects overtime.Consequently, emphasis is given to stochastic modelling and simulation techniques. You will also acquire a sound knowledge of econometrics, asset pricing, risk management and key financial securities such as equities, fixed income products and derivatives. Finally, you will master advance programming skills in Python and Matlab.
A UK upper second class degree or above, or the equivalent from an overseas institution, in a highly quantitative programme such as mathematics, statistics, physics, engineering, finance, economics or computer science and should have sound knowledge of statistics, linear algebra and calculus.Transcript/interim transcript, Current module list if still studying, CV, Personal statement (500 words), IELTS level is an average of 7.0 with a minimum of 6.5 in the writing section and no less than 6.0 in any other section, Two references
Financial analystProduct Coordinator- MathematicsTraining & Development SpecialistInvestment analystRisk Management
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City University of London
